85 lines
2.3 KiB
YAML
85 lines
2.3 KiB
YAML
#文件中心
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server:
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port: 8021
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servlet:
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#上下文统一使用api,屏蔽前端路径差异
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context-path: /api
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tomcat:
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min-spare-threads: 30
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spring:
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jackson:
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time-zone: GMT+8
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application:
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name: flowable-center
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cloud:
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nacos:
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discovery:
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server-addr: 127.0.0.1:8848
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datasource:
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driver-class-name: com.mysql.cj.jdbc.Driver
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url: jdbc:mysql://1.95.170.86:3306/flow_db?useUnicode=true&characterEncoding=utf-8&serverTimezone=Asia/Shanghai&nullCatalogMeansCurrent=true&allowMultiQueries=true
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username: flow_db
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password: zzkj@688737
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druid:
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initialSize: 5
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minIdle: 5
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maxActive: 5
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keepAlive: true #保持长连接
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connection-error-retry-attempts: 3
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#Redis
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redis:
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port: 6379 #端口
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timeout: 300000ms #连接超时
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host: 1.95.170.86 #单机
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password: 123456
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database: 0
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lettuce:
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pool:
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max-active: 8 #连接池最大连接 默认8
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max-idle: 8 #连接池中最大空闲连接 默认8
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min-idle: 1 #连接池中最小空闲连接 默认0
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max-wait: 2000ms #连接池最大阻塞等待时间 使用负值表示没有限制
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#工作流
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activiti:
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# 自动部署,验证设置：true-开启（默认）、false-关闭
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check-process-definitions: false
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# 保存历史数据
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history-level: full
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# 检测历史表是否存在
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db-history-used: true
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# 关闭自动部署
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deployment-mode: never-fail
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# 对数据库中所有表进行更新操作，如果表不存在，则自动创建
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# create_drop：启动时创建表，在关闭时删除表（必须手动关闭引擎，才能删除表）
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# drop-create：启动时删除原来的旧表，然后在创建新表（不需要手动关闭引擎）
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database-schema-update: true
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# 解决频繁查询SQL问题
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async-executor-activate: false
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use-strong-uuids: false
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initialDelay: 5
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flag: 0
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#自定义工作量变量
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flow:
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#工单流程配置
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workOrder:
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#流程定义的key ,根据实际的名称来
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procDefKey: workOrder
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#处理工单的岗位 ,后续可能是多个
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doing: tro,worker
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#验收工单的岗位
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check: tro,worker
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#评价工单的岗位
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appraise: ceo
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#swagger2配置
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swagger2:
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enable: true #开启swagger
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projectName: 云平台--flow-前端接口
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controllerPath: com.ho.flow.controller
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